Facilitating accurate health provider directories using natural language processing.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
Read Online Read More Add to Saved list
  • Author(s): Cook MJ;Cook MJ;Cook MJ;Cook MJ; Yao L; Yao L; Wang X; Wang X; Wang X; Wang X
  • Source:
    BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2019 Apr 04; Vol. 19 (Suppl 3), pp. 80. Date of Electronic Publication: 2019 Apr 04.
  • Publication Type:
    Journal Article; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
    • Publication Information:
      Original Publication: London : BioMed Central, [2001-
    • Subject Terms:
      Dentists* ; Directories as Topic* ; Midwifery* ; Natural Language Processing* ; Nurse Practitioners*; Connecticut ; Humans
    • Abstract:
      Background: Accurate information in provider directories are vital in health care including health information exchange, health benefits exchange, quality reporting, and in the reimbursement and delivery of care. Maintaining provider directory data and keeping it up to date is challenging. The objective of this study is to determine the feasibility of using natural language processing (NLP) techniques to combine disparate resources and acquire accurate information on health providers.
      Methods: Publically available state licensure lists in Connecticut were obtained along with National Plan and Provider Enumeration System (NPPES) public use files. Connecticut licensure lists textual information of each health professional who is licensed to practice within the state. A NLP-based system was developed based on healthcare provider taxonomy code, location, name and address information to identify textual data within the state and federal records. Qualitative and quantitative evaluation were performed, and the recall and precision were calculated.
      Results: We identified nurse midwives, nurse practitioners, and dentists in the State of Connecticut. The recall and precision were 0.95 and 0.93 respectively. Using the system, we were able to accurately acquire 6849 of the 7177 records of health provider directory information.
      Conclusions: The authors demonstrated that the NLP- based approach was effective at acquiring health provider information. Furthermore, the NLP-based system can always be applied to update information further reducing processing burdens as data changes.
    • References:
      Fed Regist. 2010 Jul 28;75(144):44313-588. (PMID: 20677415)
      Infect Control Hosp Epidemiol. 2003 Dec;24(12):950-4. (PMID: 14700412)
      Clin Gastroenterol Hepatol. 2014 Jul;12(7):1130-6. (PMID: 24316106)
      J Am Med Inform Assoc. 2006 Sep-Oct;13(5):516-25. (PMID: 16799125)
      Medinfo. 1995;8 Pt 1:8-12. (PMID: 8591332)
      J Am Med Inform Assoc. 2007 Nov-Dec;14(6):736-45. (PMID: 17712093)
      Proc AMIA Symp. 2000;:595-9. (PMID: 11079953)
      AJR Am J Roentgenol. 2005 Feb;184(2):687-90. (PMID: 15671399)
      Proc AMIA Symp. 2001;:159-63. (PMID: 11825173)
      Ann Intern Med. 2012 Jan 3;156(1 Pt 1):11-8. (PMID: 22213490)
      Int J Med Inform. 2008 Dec;77(12):848-54. (PMID: 18657471)
      BMJ Open. 2012 Nov 12;2(6):. (PMID: 23148338)
      JAMA Dermatol. 2014 Dec;150(12):1290-7. (PMID: 25354035)
      Proc AMIA Symp. 1999;:455-9. (PMID: 10566400)
      J AHIMA. 2000 Sep;71(8):78-81; quiz 83-4. (PMID: 11186634)
      J Am Med Inform Assoc. 2003 Jul-Aug;10(4):330-8. (PMID: 12668687)
      Proc AMIA Symp. 2002;:160-4. (PMID: 12463807)
      J Am Med Inform Assoc. 2008 Jan-Feb;15(1):14-24. (PMID: 17947624)
      J Biomed Inform. 2004 Apr;37(2):120-7. (PMID: 15120658)
      AMIA Annu Symp Proc. 2005;:460-4. (PMID: 16779082)
      AMIA Annu Symp Proc. 2007 Oct 11;:889. (PMID: 18693990)
      J Am Med Inform Assoc. 2003 Sep-Oct;10(5):494-503. (PMID: 12807805)
      Am J Prev Med. 2005 Dec;29(5):434-9. (PMID: 16376707)
      AMIA Annu Symp Proc. 2007 Oct 11;:1089. (PMID: 18694187)
      Appl Clin Inform. 2013 Feb 27;4(1):88-99. (PMID: 23650490)
      Am J Manag Care. 2013;19(3):229-34. (PMID: 23544764)
      J Am Med Inform Assoc. 2011 Sep-Oct;18(5):544-51. (PMID: 21846786)
    • Publication Date:
      Date Created: 20190405 Date Completed: 20200514 Latest Revision: 20231006
    • Publication Date:
      20240104
    • Accession Number:
      PMC6448184
    • Accession Number:
      10.1186/s12911-019-0788-x
    • Accession Number:
      30943977